A5062670983- Oceanographic and Atmospheric Processes
- Underwater Acoustics Research
- Meteorological Phenomena and Simulations
- Underwater Vehicles and Communication Systems
- Reservoir Engineering and Simulation Methods
- Climate variability and models
- Ocean Waves and Remote Sensing
- Maritime Navigation and Safety
- Seismic Imaging and Inversion Techniques
- Marine and coastal ecosystems
- Model Reduction and Neural Networks
- Target Tracking and Data Fusion in Sensor Networks
- Tropical and Extratropical Cyclones Research
- Marine and fisheries research
- Robotic Path Planning Algorithms
- Fluid Dynamics and Turbulent Flows
- Probabilistic and Robust Engineering Design
- Hydrological Forecasting Using AI
- Ocean Acidification Effects and Responses
- Methane Hydrates and Related Phenomena
- Computational Fluid Dynamics and Aerodynamics
- Geological formations and processes
- Geological and Geophysical Studies
- Advanced Numerical Methods in Computational Mathematics
- Ship Hydrodynamics and Maneuverability
Massachusetts Institute of Technology
2015-2024
IIT@MIT
2008-2022
University of Science and Technology
2021
Woods Hole Oceanographic Institution
2010-2020
Institut Français de la Mer
2020
Instituto de Ciencias Marinas de Andalucía
2020
Scripps Institution of Oceanography
2020
Rutgers, The State University of New Jersey
2019
Oceanography Society
2006-2017
University of Minnesota, Duluth
2016
The goal of adaptive sampling in the ocean is to predict types and locations additional measurements that would be most useful collect. Quantitatively, what defined by an objective function then optimize this under constraints available observing network. Examples objectives are better oceanic understanding, improve forecast quality, or sample regions high interest. This work provides a new path-planning scheme for problem. We define problem terms optimization framework propose method based...
A rational approach is used to identify efficient schemes for data assimilation in nonlinear ocean–atmosphere models. The conditional mean, a minimum of several cost functionals, chosen an optimal estimate. After stating the present goals and describing some existing schemes, constraints issues particular are emphasized. An approximation criterion satisfying addressing obtained using heuristic characteristics geophysical measurements This leads notion evolving error subspace, variable size,...
We develop and illustrate an efficient but rigorous methodology that predicts the time-optimal paths of ocean vehicles in continuous dynamic flows. The goal is to best utilize or avoid currents, without limitation on these currents number vehicles. employs a new modified level set equation evolve front from starting point vehicle until it reaches desired location, combining flow advection with nominal motion. optimal path then obtained by solving particle tracking backward time....
Ocean data assimilation is increasingly recognized as crucial for the accuracy of real-time ocean prediction systems. Here, current status in support operational demands analysis and forecasting reviewed, focusing on methods currently adopted Significant challenges associated with most commonly employed approaches are identified discussed. Overarching issues faced by general also addressed, important future directions response to scientific advances, evolving forthcoming observing systems...
A research agenda for intelligent systems that will result in fundamental new capabilities understanding the Earth system.
Abstract Deep-sea polymetallic nodule mining research activity has substantially increased in recent years, but the expected level of environmental impact is still being established. One concern discharge a sediment plume into midwater column. We performed dedicated field study using from Clarion Clipperton Fracture Zone. The was monitored and tracked both established novel instrumentation, including acoustic turbulence measurements. Our studies reveal that modeling can reliably predict...
Abstract Identical twin experiments are utilized to assess and exemplify the capabilities of error subspace statistical estimation (ESSE). The consists nonlinear, primitive equation–based, idealized Middle Atlantic Bight shelfbreak front simulations. Qualitative quantitative comparisons with an optimal interpolation (OI) scheme made. Essential components ESSE illustrated. evolution subspace, in agreement initial conditions, dynamics, data properties, is analyzed. three-dimensional...
Abstract : A multitude of physical and biological processes occur in the ocean over a wide range temporal spatial scales. Many these are nonlinear highly variable, involve interactions across several scales oceanic disciplines. For example, sound propagation is infl uenced by properties water column seabed. From observations conservation laws, scientists formulate models that aim to explain predict dynamics sea. This formulation intricate because it challenging observe on sustained basis...
In this paper, a reachability-based approach is adopted to deal with the pursuit–evasion differential game between one evader and multiple pursuers in presence of dynamic environmental disturbances (for example, winds or sea currents). Conditions for be terminated are given terms reachable set inclusions. Level equations defined solved generate forward sets evader. The time-optimal trajectories corresponding optimal strategies subsequently retrieved from these level sets. divided into active...
Any model order reduced dynamical system that evolves a modal decomposition to approximate the discretized solution of stochastic PDE can be related vector field tangent manifold fixed rank matrices. The Dynamically Orthogonal (DO) approximation is canonical for which corresponding orthogonal projection original dynamics onto spaces this manifold. embedded geometry matrix thoroughly analyzed. curvature characterized and smallest singular value through study Weingarten map. Differentiability...
Abstract The Red Sea, home to the second-longest coral reef system in world, is a vital resource for Kingdom of Saudi Arabia. Sea provides 90% Kingdom’s potable water by desalinization, supporting tourism, shipping, aquaculture, and fishing industries, which together contribute about 10%–20% country’s GDP. All these activities, those elsewhere region, critically depend on oceanic atmospheric conditions. At time mega-development projects along coast, global warming, authorities are working...